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#include <iostream>
#include <chrono>
#include <algorithm>
#include <functional>
#include <array>
using namespace std::chrono;
void swap(int* a, int* b);
template <class T>
void selectionSort(T arr[], T n);
template <class T>
void bubbleSort(T arr[], T n);
template <class T>
void merge(T arr[], T l, T m, T r);
template <class T>
void mergeSort(T arr[], T l, T r);
template <class T>
int partition (T arr[], T low, T high);
template <class T>
void quickSort(T arr[], T low, T high);
template <class T>
void heapify(T arr[], T n, T i);
template <class T>
void heapSort(T arr[], T n);
void test(const unsigned int size);
int main()
{
test(60000);
}//main
void swap(int* a, int* b)
{
int t = *a;
*a = *b;
*b = t;
}
template <class T>
void selectionSort(T arr[], T n)
{
T i, j, min_idx;
// One by one move boundary of unsorted subarray
for (i = 0; i < n-1; i++)
{
// Find the minimum element in unsorted array
min_idx = i;
for (j = i+1; j < n; j++)
if (arr[j] < arr[min_idx])
min_idx = j;
// Swap the found minimum element with the first element
swap(&arr[min_idx], &arr[i]);
}
}//functin selectionSort
template <class T>
void bubbleSort(T arr[], T n)
{
T i, j;
for (i = 0; i < n-1; i++)
// Last i elements are already in place
for (j = 0; j < n-i-1; j++)
if (arr[j] > arr[j+1])
swap(&arr[j], &arr[j+1]);
}//function bubbleSort
template <class T>
void merge(T arr[], T l, T m, T r)
{
T i, j, k;
T n1 = m - l + 1;
T n2 = r - m;
/* create temp arrays */
T L[n1], R[n2];
/* Copy data to temp arrays L[] and R[] */
for (i = 0; i < n1; i++)
L[i] = arr[l + i];
for (j = 0; j < n2; j++)
R[j] = arr[m + 1+ j];
/* Merge the temp arrays back into arr[l..r]*/
i = 0; // Initial index of first subarray
j = 0; // Initial index of second subarray
k = l; // Initial index of merged subarray
while (i < n1 && j < n2)
{
if (L[i] <= R[j])
{
arr[k] = L[i];
i++;
}
else
{
arr[k] = R[j];
j++;
}
k++;
}
/* Copy the remaining elements of L[], if there
are any */
while (i < n1)
{
arr[k] = L[i];
i++;
k++;
}
/* Copy the remaining elements of R[], if there
are any */
while (j < n2)
{
arr[k] = R[j];
j++;
k++;
}
}//function merge
/* l is for left index and r is right index of the
sub-array of arr to be sorted */
template <class T>
void mergeSort(T arr[], T l, T r)
{
if (l < r)
{
// Same as (l+r)/2, but avoids overflow for
// large l and h
T m = l+(r-l)/2;
// Sort first and second halves
mergeSort(arr, l, m);
mergeSort(arr, m+1, r);
merge(arr, l, m, r);
}
}//function mergeSort
template <class T>
int partition (T arr[], T low, T high)
{
T pivot = arr[high]; // pivot
T i = (low - 1); // Index of smaller element
for (T j = low; j <= high - 1; j++)
{
// If current element is smaller than the pivot
if (arr[j] < pivot)
{
i++; // increment index of smaller element
swap(&arr[i], &arr[j]);
}
}
swap(&arr[i + 1], &arr[high]);
return (i + 1);
}//function partition
template <class T>
void quickSort(T arr[], T low, T high)
{
if (low < high)
{
/* pi is partitioning index, arr[p] is now
at right place */
T pi = partition(arr, low, high);
// Separately sort elements before
// partition and after partition
quickSort(arr, low, pi - 1);
quickSort(arr, pi + 1, high);
}
}//function quickSort
template <class T>
void heapify(T arr[], T n, T i)
{
T largest = i; // Initialize largest as root
T l = 2*i + 1; // left = 2*i + 1
T r = 2*i + 2; // right = 2*i + 2
// If left child is larger than root
if (l < n && arr[l] > arr[largest])
largest = l;
// If right child is larger than largest so far
if (r < n && arr[r] > arr[largest])
largest = r;
// If largest is not root
if (largest != i)
{
swap(&arr[i], &arr[largest]);
// Recursively heapify the affected sub-tree
heapify(arr, n, largest);
}
}//function heapify
template <class T>
void heapSort(T arr[], T n)
{
// Build heap (rearrange array)
for (T i = n / 2 - 1; i >= 0; i--)
heapify(arr, n, i);
// One by one extract an element from heap
for (T i=n-1; i>=0; i--)
{
// Move current root to end
swap(&arr[0], &arr[i]);
// call max heapify on the reduced heap
heapify(arr, i, 0);
}
}//function heapSort
void test(const unsigned int size)
{
srand(time(NULL));
int array[size];
for (int i = 0; i < size; i++)
{
array[i] = rand() % size;
}
//
auto startSS = high_resolution_clock::now();
selectionSort <int>(array, size);
auto stopSS = high_resolution_clock::now();
auto durationSelection = duration_cast<microseconds>(stopSS - startSS);
//
for (int i = 0; i < size; i++)
{
array[i] = rand() % size;
}
//
auto startBS = high_resolution_clock::now();
bubbleSort <int>(array, size);
auto stopBS = high_resolution_clock::now();
auto durationBubble = duration_cast<microseconds>(stopBS - startBS);
//
for (int i = 0; i < size; i++)
{
array[i] = rand() % size;
}
//
auto startMG = high_resolution_clock::now();
mergeSort <int>(array, array[0], array[size-1]);
auto stopMG = high_resolution_clock::now();
auto durationMerge = duration_cast<microseconds>(stopMG - startMG);
//
for (int i = 0; i < size; i++)
{
array[i] = rand() % size;
}
//
auto startQS = high_resolution_clock::now();
quickSort <int>(array, array[0], array[size-1]);
auto stopQS = high_resolution_clock::now();
auto durationQuick = duration_cast<microseconds>(stopQS - startQS);
//
for (int i = 0; i < size; i++)
{
array[i] = rand() % size;
}
//
auto startHP = high_resolution_clock::now();
heapSort <int>(array, size);
auto stopHP = high_resolution_clock::now();
auto durationHeap = duration_cast<microseconds>(stopHP - startHP);
//
for (int i = 0; i < size; i++)
{
array[i] = rand() % size;
}
//
auto startSort = high_resolution_clock::now();
std::sort(array[0], array[size-1]);
auto stopSort = high_resolution_clock::now();
auto durationSort = duration_cast<microseconds>(stopSort - startSort);
std::cout << size << " | "
<< durationSelection.count() << " "
<< durationBubble.count() << " "
<< durationMerge.count() << " "
<< durationQuick.count() << " "
<< durationHeap.count() << " "
<< durationSort.count() << " "
<< std::endl;
}//function sixtyTest
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